PICB
PICB constructs piRNA clusters through a stepwise integration of unique and multimapping piRNAs to identify genomic regions with a high density of PIWI-interacting RNAs.
Key Features:
- Stepwise piRNA Integration: Constructs piRNA clusters by integrating unique and multimapping piRNAs in a stepwise manner.
- Parameter Optimization: Includes an optimization function that allows testing of different parameter combinations to tailor analysis to specific piRNA systems.
- Extensive Metadata Output: Generates output with extensive metadata columns enabling researchers to rank clusters and extract cluster characteristics.
Scientific Applications:
- piRNA Cluster Identification: Identifies genomic regions with high piRNA density that serve as sources of PIWI-interacting RNAs.
- Transposon Regulation Studies: Supports analysis of piRNA clusters involved in restricting mobile genetic elements (transposons) in germ cells.
- Genome Integrity Research: Enables characterization of piRNA clusters that maintain genome integrity through PIWI protein partnerships.
Methodology:
PICB constructs piRNA clusters through stepwise integration of unique and multimapping piRNAs with wide-ranging parameter settings.
Collections
Details
- License:
- CC0-1.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 8/30/2026
- Last Updated:
- 8/30/2026
Operations
Publications
Documentation
User manual
https://bioconductor.org/packages/PICBDownloads
- Source codehttps://github.com/HaaseLab/PICB